{"id":"W3003548070","doi":"10.1093/ehjci/jez321","title":"Increased long-term mortality in women with high left ventricular ejection fraction: data from the CONFIRM (COronary CT Angiography EvaluatioN For Clinical Outcomes: An InteRnational Multicenter) long-term registry","year":2019,"lang":"en","type":"article","venue":"European Heart Journal - Cardiovascular Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Ottawa","funders":"Schweizerische Herzstiftung; EMDO Stiftung; National Heart, Lung, and Blood Institute; Olga Mayenfisch Stiftung; Novartis Foundation; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Institutes of Health; Helmut Horten Stiftung; National Science Foundation","keywords":"Ejection fraction; Medicine; Hazard ratio; Cardiology; Internal medicine; Proportional hazards model; Coronary artery disease; Cohort; Confidence interval; Heart failure","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007663386,0.0003098094,0.0007225737,0.0002067274,0.000198402,0.0003329669,0.0004583641,0.00003884545,0.000114337],"category_scores_gemma":[0.0008520248,0.0002349337,0.001107548,0.0001851155,0.0001223729,0.0008554446,0.0001673065,0.0007915706,0.00003747541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000303537,"about_ca_system_score_gemma":0.0001800366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002406098,"about_ca_topic_score_gemma":0.00001202768,"domain_scores_codex":[0.9951434,0.001625938,0.0007850621,0.0007721451,0.001261289,0.000412223],"domain_scores_gemma":[0.9964942,0.000540699,0.000304339,0.001898548,0.0004788711,0.0002833249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004918933,0.0002951077,0.9870818,0.00003052947,0.003663903,0.001698494,0.00006050136,0.0002438489,0.00001952092,2.27929e-7,0.0003665519,0.006047673],"study_design_scores_gemma":[0.008721007,0.0001138433,0.9829184,0.0004803897,0.002079475,0.002427876,0.0002235833,0.0008911316,0.000009035302,0.000004101377,0.001863773,0.0002673255],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885428,0.003874221,0.003815507,0.0003593428,0.001994166,0.001120279,0.0001097755,0.00006261398,0.0001213283],"genre_scores_gemma":[0.9950817,0.0003987585,0.0005173956,0.0009424244,0.001847537,0.00001489791,0.001111224,0.00007901352,0.000007033184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008229114,"threshold_uncertainty_score":0.958032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07528511418768727,"score_gpt":0.3735308542616487,"score_spread":0.2982457400739614,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}